A general inductive approach for qualitative data analysis
A general inductive approach for qualitative data analysis
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发表时间：
2003
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通讯作者：
Donald Alan Thomas
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作者：
Donald Alan Thomas
描述了用于定性数据分析的一般归纳方法的概要，并提供了所使用的假设和程序的详细信息。使用归纳法的目的是(1)将广泛而多样的原始文本数据浓缩成简短的摘要格式；(2)在研究目标和从原始数据得出的摘要结果之间建立明确的联系；(3)发展关于原始数据中明显的经验或过程的潜在结构的模型或理论。归纳法反映了定性数据分析中经常报道的模式。大多数归纳研究报告的模型在研究结果中有三到八个主要类别。一般归纳法为许多研究目的提供了一种分析定性数据的方便而有效的方法。分析的结果可能与扎根的理论方法得出的结果没有什么区别。许多研究人员可能会发现，使用一般的归纳法比其他一些传统的定性数据分析方法更直接。
An outline of a general inductive approach for qualitative data analysis is described and details provided about the assumptions and procedures used. The purposes for using an inductive approach are to (1) to condense extensive and varied raw text data into a brief, summary format; (2) to establish clear links between the research objectives and the summary findings derived from the raw data and (3) to develop of model or theory about the underlying structure of experiences or processes which are evident in the raw data. The inductive approach reflects frequently reported patterns used in qualitative data analysis. Most inductive studies report a model that has between three and eight main categories in the findings. The general inductive approach provides a convenient and efficient way of analysing qualitative data for many research purposes. The outcomes of analysis may be indistinguishable from those derived from a grounded theory approach. Many researchers are likely to find using a general inductive approach more straightforward than some of the other traditional approaches to qualitative data analysis.